Job Description The job that makes possibilities real in patients' lives. And yours. The job that helps you get ahead in life. Moving mountains together. Welcome to AbbVie As part of an international company with 48,000 employees worldwide and around 3,000 employees in Germany, you will have the opportunity of addressing some of tomorrows unmet medical needs in close collaboration with your colleagues. Are you passionate about improving global health care? Do you want to contribute to improving patients' quality of life through your expertise? In a challenging work environment that offers opportunities of developing and increasing your own skills? Youve come to the right place Moving mountains together – as Principal Research Scientist II, AI/ML Team Lead (all genders) (permanent / full-time) Responsibilities Computational Drug Discovery (CDD) at AbbVie is a multifunctional, global organization that drives computational approaches to small molecule drug discovery, supporting all therapeutic areas. The mission of this organization is to apply state-of-the-art computational chemistry, machine learning and physics-based methods to better understand protein structure/function and to accelerate the drug discovery process from hit generation to clinical candidate selection. We are making significant investments in AI/ML methods to support all elements of the CDD mission, and we are searching for a leader to bolster our expertise in the application of AI/ML methods for drug discovery programs. You will contribute to guiding the future direction of AI/ML in this space. This position offers the flexibility to be based onsite in North Chicago, IL, Worcester, MA, South San Francisco, CA or Ludwigshafen, Germany. Key Responsibilities: Responsible for contributing to the scientific and strategic incorporation of AI/ML tools into existing CDD workflows. Strategic Direction: Interface closely throughout CDD membership to identify opportunities for incorporating AI/ML strategies to enhance contributions to drug discovery pipeline. Collaborate with experts to leverage external innovation, manage external research collaborations. Make decisions based on review of available information and data. Manage multiple projects within the AI/ML team, enabling pipeline-driving science. Scientific Leadership: Identify, develop, optimize, validate, and deploy innovative methods for data mining, molecular generation, scoring and modeling that leverage AI/ML models and big data to enhance and apply molecular design capabilities. Interface with AbbVie IT infrastructure teams to ensure effective deployment of AI/ML capabilities.